The direction choice of green technological progress and late-development advantage in Central and Western China

Dai, Jun; Zhuo, Yuting; Liao, Zujun; Wen, Huaide

doi:10.1016/j.heliyon.2022.e12190

Cited by 8 publications

(4 citation statements)

References 73 publications

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“…Traditional mining methods are very likely to trigger the movement of overlying rock strata and surface deformation, and fill mining, as a green and efficient coal mining method, is highly effective in improving the recovery rate of coal resources and controlling surface deformation [2][3]. However, the cost investment, economic benefits and the degree of surface mining damage vary greatly among different filling schemes, which increases the complexity of the selection of filling mining schemes [4][5][6]. The excellent underbuilding infill mining scheme has the characteristics of high safety, low cost investment and significant economic benefits, which can not only effectively alleviate the damage of coal mining to surface buildings, but also improve the recovery rate of coal resources, and obtain the best economic benefits with the minimum construction investment and operating costs.…”

Section: Introductionmentioning

confidence: 99%

Preferential evaluation of coal filling mining scheme under building pressure based on improved grey target decision-making model of game theory

Ma,

Liu

et al. 2024

Preprint

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The problem of coal compression under buildings is common in underground mining of coal mines in China. The selection of traditional mining programme is subjective and lacks scientific rationality. In order to solve this problem, this paper studies the evaluation index system and model applicable to the selection of coal filling mining scheme under buildings. A multi-objective evaluation index system integrating economic, technical and adaptive factors is constructed. And an integrated optimization model is established, which is based on the traditional grey target model, combining the game theory optimal combination of weights with the hierarchical analysis method, entropy weight method, Critic method to determine the weights, and then introducing the TOPSIS model and the Mars distance to establish an improved grey target decision-making model. The validity of the evaluation index system and model is verified by taking the example of coal mining under pressure of buildings in five mining areas of a coal mine, which provides technical support for decision makers. This study helps to scientifically and reasonably carry out the preferred mining scheme of coal filling under building pressure.

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Section: Introductionmentioning

confidence: 99%

Preferential evaluation of coal filling mining scheme under building pressure based on improved grey target decision-making model of game theory

Ma,

Liu

et al. 2024

Preprint

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“…Biased technical progress has been studied for a long time [ 1 , 2 ]. As early as the era of classical economics, scholars were already concerned about the technological progress in economic growth [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…Domestic research started relatively late, and most focused on the measurement and impact analysis of biased technical progress. Lu and Zhang [ 16 ], Lei [ 17 ], Shi-chuan [ 18 ], Huang and Xu [ 19 ], Dai [ 2 ] and Wu et al [ 20 ] measured the elasticity of factor substitution and biased technical progress from different angles. More scholars have focused on the impact of biased technological progress.…”

Section: Introductionmentioning

confidence: 99%

Quantifying biased technical progress in China: Heterogeneous human capital and labor force dynamics

Cui,

Elahi,

et al. 2024

Heliyon

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“…Due to the large differences in economic development and environmental protection efforts among cities and urban agglomerations, a laddering approach is necessary to achieve carbon peaking in China as a whole [9]. The resource-dependent urban agglomerations in the west are characterised by a changing cycle of resource exploitation and processing, with non-renewable energy resources accounting for more than 90% of the total [10], while low-level low-carbon industries in urban agglomerations lack corresponding low-carbon technology research and application services [11]. How to reduce carbon emissions in such urban agglomerations is an important challenge for China to achieve the target of "double carbon".…”

Section: Introductionmentioning

confidence: 99%

Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios—A Case Study of Hu-Bao-O-Yu Urban Agglomeration

Ning

Zhang

et al. 2023

IJERPH

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The Hu-Bao-O-Yu urban agglomeration is an important energy exporting and high-end chemical base in China, and is an important source of carbon emissions in China. The early achievement of peak carbon emissions in this region is particularly crucial to achieving the national carbon emission reduction targets. However, there is a lack of multi-factor system dynamics analysis of resource-dependent urban agglomerations in Northwest China, as most studies have focused on single or static aspects of developed urban agglomerations. This paper analyses the relationship between carbon emissions and their influencing factors, constructs a carbon emission system dynamics model for the Hu-Bao-O-Yu urban agglomeration, and sets up different single regulation and comprehensive regulation scenarios to simulate and predict the carbon peak time, peak value, and emission reduction potential of each city and urban agglomeration under different scenarios. The results show that: (1) Hohhot and Baotou are expected to reach peak carbon by 2033 and 2031 respectively, under the baseline scenario, while other regions and the urban agglomeration will not be able to reach peak carbon by 2035. (2) Under single regulation scenarios, the effect of factors other than the energy consumption varies across cities, but the energy consumption and environmental protection input are the main factors affecting carbon emissions in the urban agglomeration. (3) A combination of the economic growth, industrial structure, energy policy, environmental protection, and technology investment is the best measure to achieve carbon peaking and enhance the carbon emission reduction in each region as soon as possible. In the future, we need to coordinate the economic development, energy structure optimisation and transformation, low-carbon transformation of industry, strengthen research on carbon sequestration technology, and further increase the investment in environmental protection to make the Hu-Bao-O-Yu urban agglomeration a resource-saving urban agglomeration with an optimal emission reduction.

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The direction choice of green technological progress and late-development advantage in Central and Western China

Cited by 8 publications

References 73 publications

Preferential evaluation of coal filling mining scheme under building pressure based on improved grey target decision-making model of game theory

Preferential evaluation of coal filling mining scheme under building pressure based on improved grey target decision-making model of game theory

Quantifying biased technical progress in China: Heterogeneous human capital and labor force dynamics

Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios—A Case Study of Hu-Bao-O-Yu Urban Agglomeration

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